Hierarchical Image Processing for CSO Resolution

Award Information
Agency:
Department of Defense
Branch
Missile Defense Agency
Amount:
$99,967.00
Award Year:
2005
Program:
SBIR
Phase:
Phase I
Contract:
HQ0006-05-C-7144
Award Id:
74728
Agency Tracking Number:
044-0230
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
PO Box 271246, Ft. Collins, CO, 80527
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
956324362
Principal Investigator:
Benjamin Slocumb
Senior Scientist
(970) 419-8343
bjslocumb@numerica.us
Business Contact:
Jeff Poore
Vice President
(970) 419-8343
jbpoore@numerica.us
Research Institution:
n/a
Abstract
Observation of closely-spaced objects using limited-resolution infrared sensor systems can result in merged measurements, which can hamper the performance of both tracking algorithms and discrimination. Algorithms intended to improve image resolution capability are often processor-intensive. This can limit their applicability for space systems onboard processing, particularly in the short timelines associated with kinetic interceptors. We propose to develop an algorithm for resolution of closely-spaced objects using a hierarchy of spatial filters, deconvolution, and constructive particle distribution with Expectation Maximization (EM) clustering. With this hierarchy, we expect to provide improved object resolution while conforming to space system processing time constraints.

* information listed above is at the time of submission.

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